AIMC Topic: Selection, Genetic

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Interpreting generative adversarial networks to infer natural selection from genetic data.

Genetics Apr 3, 2024
Understanding natural selection and other forms of non-neutrality is a major focus for the use of machine learning in population genetics. Existing methods rely on computationally intensive simulated training data. Unlike efficient neutral coalescent...
Humans Genomics Selection, Genetic Genetics, Population Neural Networks, Computer Machine Learning
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Tensor Decomposition-based Feature Extraction and Classification to Detect Natural Selection from Genomic Data.

Molecular biology and evolution Oct 4, 2023
Inferences of adaptive events are important for learning about traits, such as human digestion of lactose after infancy and the rapid spread of viral variants. Early efforts toward identifying footprints of natural selection from genomic data involve...
Selection, Genetic Machine Learning Genomics Humans Neural Networks, Computer Artificial Intelligence
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Multi-modal deep learning improves grain yield prediction in wheat breeding by fusing genomics and phenomics.

Bioinformatics (Oxford, England) Jun 1, 2023
MOTIVATION: Developing new crop varieties with superior performance is highly important to ensure robust and sustainable global food security. The speed of variety development is limited by long field cycles and advanced generation selections in plan...
Deep Learning Genomics Genotype Phenotype Phenomics Selection, Genetic Triticum Plant Breeding Edible Grain
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Deciphering signatures of natural selection via deep learning.

Briefings in bioinformatics Sep 20, 2022
Identifying genomic regions influenced by natural selection provides fundamental insights into the genetic basis of local adaptation. However, it remains challenging to detect loci under complex spatially varying selection. We propose a deep learning...
Polymorphism, Single Nucleotide Selection, Genetic Deep Learning Genomics Genome Humans
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A Deep-Learning Approach for Inference of Selective Sweeps from the Ancestral Recombination Graph.

Molecular biology and evolution Jan 7, 2022
Detecting signals of selection from genomic data is a central problem in population genetics. Coupling the rich information in the ancestral recombination graph (ARG) with a powerful and scalable deep-learning framework, we developed a novel method t...
Selection, Genetic Genetics, Population Recombination, Genetic Deep Learning Models, Genetic
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Discovery of Ongoing Selective Sweeps within Anopheles Mosquito Populations Using Deep Learning.

Molecular biology and evolution Mar 9, 2021
Identification of partial sweeps, which include both hard and soft sweeps that have not currently reached fixation, provides crucial information about ongoing evolutionary responses. To this end, we introduce partialS/HIC, a deep learning method to d...
Genome, Insect Anopheles Animals Selection, Genetic Insecticide Resistance Deep Learning
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ASAS-NANP SYMPOSIUM: Applications of machine learning for livestock body weight prediction from digital images.

Journal of animal science Feb 1, 2021
Monitoring, recording, and predicting livestock body weight (BW) allows for timely intervention in diets and health, greater efficiency in genetic selection, and identification of optimal times to market animals because animals that have already reac...
Artificial Intelligence Selection, Genetic Livestock Machine Learning Body Weight Animals
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The Unreasonable Effectiveness of Convolutional Neural Networks in Population Genetic Inference.

Molecular biology and evolution Feb 1, 2019
Population-scale genomic data sets have given researchers incredible amounts of information from which to infer evolutionary histories. Concomitant with this flood of data, theoretical and methodological advances have sought to extract information fr...
Hybridization, Genetic Genetics, Population Recombination, Genetic Animals Neural Networks, Computer Selection, Genetic
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Machine learning spots natural selection at work in human genome.

Nature Nov 1, 2018
Lactase Evolution, Molecular Milk Deep Learning Humans DNA Mutational Analysis Selection, Genetic Europe Animals History, Ancient Genome, Human
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Animal Breeding learning from machine learning.

Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie Apr 1, 2017
Dairying Models, Biological Machine Learning Selection, Genetic Breeding Animals
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